Výsledky vyhľadávania - "MapReduce algorithms"
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Efficient deterministic MapReduce algorithms for parallelizable problems
ISSN: 0743-7315Vydavateľské údaje: Elsevier Inc 01.07.2023Vydané v Journal of parallel and distributed computing (01.07.2023)“… of how the computational power of MapReduce algorithms compares to that of combinational Boolean circuits commonly used for parallel computations…”
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MapReduce algorithms for robust center-based clustering in doubling metrics
ISSN: 0743-7315Vydavateľské údaje: Elsevier Inc 01.12.2024Vydané v Journal of parallel and distributed computing (01.12.2024)“…Clustering is a pivotal primitive for unsupervised learning and data analysis. A popular variant is the (k,ℓ)-clustering problem, where, given a pointset P…”
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Efficient MapReduce algorithms for triangle listing in billion-scale graphs
ISSN: 0926-8782, 1573-7578Vydavateľské údaje: New York Springer US 01.06.2017Vydané v Distributed and parallel databases : an international journal (01.06.2017)“…This paper addresses the classical triangle listing problem, which aims at enumerating all the tuples of three vertices connected with each other by edges…”
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MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach
ISSN: 2314-6133, 2314-6141, 2314-6141Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017Vydané v BioMed research international (01.01.2017)“…Gene regulation is a series of processes that control gene expression and its extent. The connections among genes and their regulatory molecules, usually…”
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Using Performance Measurements to Improve MapReduce Algorithms
ISSN: 1877-0509, 1877-0509Vydavateľské údaje: Elsevier B.V 2012Vydané v Procedia computer science (2012)“…The Hadoop MapReduce software environment is used for parallel processing of distributively stored data. Data mining algorithms of increasing sophistication…”
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MapReduce algorithms for efficient generation of CPS models from large historical data sets
ISSN: 1946-0740Vydavateľské údaje: IEEE 01.09.2015Vydané v Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) (01.09.2015)“…This paper addresses the efficient generation of models for cyber-physical systems from large historical data sets. A cyber-physical system (CPS) is a system…”
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Comparative Analysis of MPI and MapReduce Algorithms for Efficient Distributed Table Joins
ISSN: 3048-460X, 3048-460XVydavateľské údaje: 30.09.2025Vydané v Current Natural Sciences and Engineering (30.09.2025)“…This paper presents a comparative performance analysis of distributed table join algorithms using the MPI4PY library and the MapReduce framework. Two MPI-based…”
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Extending Standard MapReduce Algorithms
Vydavateľské údaje: IEEE 01.04.2016Vydané v 2016 IEEE Second International Conference on Multimedia Big Data (BigMM) (01.04.2016)“…The information rate nowadays is expanding very quickly and contains complex and heterogeneous data types (text, images, videos, GPS data, purchase…”
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BigFCM: Fast, precise and scalable FCM on hadoop
ISSN: 0167-739X, 1872-7115Vydavateľské údaje: Elsevier B.V 01.12.2017Vydané v Future generation computer systems (01.12.2017)“…Clustering plays an important role in mining big data both as a modeling technique and a preprocessing step in many data mining process implementations. Fuzzy…”
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Security and privacy aspects in MapReduce on clouds: A survey
ISSN: 1574-0137, 1876-7745Vydavateľské údaje: Elsevier Inc 01.05.2016Vydané v Computer science review (01.05.2016)“…MapReduce is a programming system for distributed processing of large-scale data in an efficient and fault tolerant manner on a private, public, or hybrid…”
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Efficient Processing of Skyline Queries Using MapReduce
ISSN: 1041-4347, 1558-2191Vydavateľské údaje: New York IEEE 01.05.2017Vydané v IEEE transactions on knowledge and data engineering (01.05.2017)“…The skyline operator has attracted considerable attention recently due to its broad applications. However, computing a skyline is challenging today since we…”
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Efficient Distributed k-Clique Mining for Large Networks Using MapReduce
ISSN: 1041-4347, 1558-2191Vydavateľské údaje: New York IEEE 01.03.2021Vydané v IEEE transactions on knowledge and data engineering (01.03.2021)“…Mining cliques of a network is an important problem that has many applications in different fields like social networks, bioinformatics, and web analysis. In…”
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Submodularity of Distributed Join Computation
ISSN: 0730-8078Vydavateľské údaje: United States 01.06.2018Vydané v Proceedings - ACM-SIGMOD International Conference on Management of Data (01.06.2018)“…We study distributed equi-join computation in the presence of join-attribute skew, which causes load imbalance. Skew can be addressed by more fine-grained…”
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Algorithms for processing the group K nearest-neighbor query on distributed frameworks
ISSN: 0926-8782, 1573-7578Vydavateľské údaje: New York Springer US 01.09.2021Vydané v Distributed and parallel databases : an international journal (01.09.2021)“… In previous work, we presented the first MapReduce algorithm, consisting of alternating local and parallel phases, which can be used to effectively process the G K NN query when the Query fits…”
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MapReduce Algorithms for GIS Polygonal Overlay Processing
Vydavateľské údaje: IEEE 01.05.2013Vydané v 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (01.05.2013)“…Polygon overlay is one of the complex operations in computational geometry. It is applied in many fields such as Geographic Information Systems (GIS), computer…”
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AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs
Vydavateľské údaje: IEEE 09.07.2023Vydané v 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)“…Distributed GNN training on contemporary massive and densely connected graphs requires information aggregation from all neighboring nodes, which leads to an…”
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MapReduce Algorithms for Processing Universal Quantifier Queries
ISSN: 2159-6182Vydavateľské údaje: IEEE 01.06.2014Vydané v IEEE ... International Conference on Cloud Computing (01.06.2014)“…Although quantification queries are important for querying sets and databases, nevertheless, they haven't yet been directly supported by the MapReduce…”
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IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation
Vydavateľské údaje: IEEE 09.07.2023Vydané v 2023 60th ACM/IEEE Design Automation Conference (DAC) (09.07.2023)“…Data-free knowledge distillation (DFKD) explores training a compact student network only by a pre-trained teacher without real data. Prevailing DFKD methods…”
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An Adaptive Distributed Simulator for Cloud and MapReduce Algorithms and Architectures
Vydavateľské údaje: IEEE 01.12.2014Vydané v Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (01.12.2014)“…Scalability and performance are crucial for simulations as much as accuracy is. Due to the limited availability and access to the variety of resources, cloud…”
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CAF: Core to core Communication Acceleration Framework
Vydavateľské údaje: ACM 01.09.2016Vydané v 2016 International Conference on Parallel Architecture and Compilation Techniques (PACT) (01.09.2016)“…As the number of cores in a multicore system increases, core-to-core (C2C) communication is increasingly limiting the performance scaling of workloads that…”
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